clusEvol: A Procedure for Cluster Evolution Analytics

Cluster Evolution Analytics allows us to use exploratory what if questions in the sense that the present information of an object is plugged-in a dataset in a previous time frame so that we can explore its evolution (and of its neighbors) to the present. See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2024) <https://mpra.ub.uni-muenchen.de/120220>.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: ggplot2, plotly, cluster, fpc, viridis, clusterSim, dplyr
Published: 2024-02-26
Author: Víctor Morales-Oñate ORCID iD [aut, cre], Bolívar Morales-Oñate ORCID iD [aut]
Maintainer: Víctor Morales-Oñate <victor.morales at uv.cl>
BugReports: https://github.com/vmoprojs/clusEvol/issues
License: GPL (≥ 3)
URL: https://github.com/vmoprojs/clusEvol
NeedsCompilation: no
CRAN checks: clusEvol results

Documentation:

Reference manual: clusEvol.pdf

Downloads:

Package source: clusEvol_1.0.0.tar.gz
Windows binaries: r-prerel: clusEvol_1.0.0.zip, r-release: clusEvol_1.0.0.zip, r-oldrel: clusEvol_1.0.0.zip
macOS binaries: r-prerel (arm64): clusEvol_1.0.0.tgz, r-release (arm64): clusEvol_1.0.0.tgz, r-oldrel (arm64): clusEvol_1.0.0.tgz, r-prerel (x86_64): clusEvol_1.0.0.tgz, r-release (x86_64): clusEvol_1.0.0.tgz

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